\lambda_1 + \tan^{-1}_* \frac{\cos \phi_2 \cdot \sin \left(\lambda_1 - \lambda_2\right)}{\cos \phi_1 + \cos \phi_2 \cdot \cos \left(\lambda_1 - \lambda_2\right)}\lambda_1 + \tan^{-1}_* \frac{\left(\cos \phi_2 \cdot \sin \lambda_1\right) \cdot \cos \lambda_2 + \left(\cos \phi_2 \cdot \cos \lambda_1\right) \cdot \sin \left(-\lambda_2\right)}{\cos \phi_1 + \cos \phi_2 \cdot \left(\cos \lambda_1 \cdot \cos \lambda_2 + \sin \lambda_1 \cdot \sin \lambda_2\right)}double code(double lambda1, double lambda2, double phi1, double phi2) {
return (lambda1 + atan2((cos(phi2) * sin((lambda1 - lambda2))), (cos(phi1) + (cos(phi2) * cos((lambda1 - lambda2))))));
}
double code(double lambda1, double lambda2, double phi1, double phi2) {
return (lambda1 + atan2((((cos(phi2) * sin(lambda1)) * cos(lambda2)) + ((cos(phi2) * cos(lambda1)) * sin(-lambda2))), (cos(phi1) + (cos(phi2) * ((cos(lambda1) * cos(lambda2)) + (sin(lambda1) * sin(lambda2)))))));
}



Bits error versus lambda1



Bits error versus lambda2



Bits error versus phi1



Bits error versus phi2
Results
Initial program 0.8
rmApplied cos-diff0.8
rmApplied sub-neg0.8
Applied sin-sum0.2
Applied distribute-lft-in0.2
Simplified0.2
rmApplied associate-*r*0.2
Final simplification0.2
herbie shell --seed 2020103 +o rules:numerics
(FPCore (lambda1 lambda2 phi1 phi2)
:name "Midpoint on a great circle"
:precision binary64
(+ lambda1 (atan2 (* (cos phi2) (sin (- lambda1 lambda2))) (+ (cos phi1) (* (cos phi2) (cos (- lambda1 lambda2)))))))